DocumentCode
3324096
Title
Text processing for speech synthesis using parallel distributed models
Author
Scordilis, Michael S. ; Gowdy, John N.
Author_Institution
Dept. of Electr. & Comput. Eng., Clemson Univ., SC, USA
fYear
1989
fDate
9-12 Apr 1989
Firstpage
765
Abstract
A parallel distributed model is developed for the text-to-speech synthesis problem. This model includes a procedure which marks those incoming letters which are soundless, but which modify the pronunciation of their neighbors. Neural-network simulation results are presented, and it is shown that the larger the network the faster the learning rate, but also the greater the computational requirements
Keywords
natural languages; neural nets; speech synthesis; user interfaces; computational requirements; learning rate; neural network simulation; parallel distributed models; speech synthesis; text processing; text-to-speech synthesis; CD-ROMs; Concurrent computing; Design methodology; Distributed computing; Natural languages; Neural networks; Speech processing; Speech synthesis; Text processing; User interfaces;
fLanguage
English
Publisher
ieee
Conference_Titel
Southeastcon '89. Proceedings. Energy and Information Technologies in the Southeast., IEEE
Conference_Location
Columbia, SC
Type
conf
DOI
10.1109/SECON.1989.132503
Filename
132503
Link To Document